HDR DSC: Collaborative Research: Central Coast Data Science Partnership: Training a New Generation of Data Scientists

HDR DSC：合作研究：中央海岸数据科学合作伙伴：培训新一代数据科学家

• 批准号: 1924205
• 负责人: Ambuj Singh
• 金额: $ 90.59万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1924205&HistoricalAwards=false
• 关键词: HDR; DSC; Collaborative; Research; Central

Due to the societal and technological advances made possible by data-driven science, there is a strong demand for professionals versed in the tools and techniques needed for manipulating and understanding data. This project will develop an undergraduate curriculum in data science that spans and connects the three main public higher education systems in California: the research-driven University of California system, the practical and career-oriented California State University system, and the two-year California Community Colleges. The collaborative program will establish pathways for data science training through coursework and real-world projects. This project will impact students from diverse social, ethnic, cultural, and economic backgrounds and will improve the feeder pipelines from two-year colleges to four-year universities. This multi-campus approach to building a data science training program will foster collaborations for training a diverse workforce in data science. The resulting course materials and project outcomes will be made available so that other institutions can adopt best practices.The partnership consists of four academic institutions on the West Coast: University of California, Santa Barbara (UCSB), California Polytechnic State University, San Luis Obispo (Cal Poly), Santa Barbara City College (SBCC), and California State University, San Bernardino (CSUSB). The alliance will expand training at UCSB and Cal Poly by building on existing strengths through a sequence of new capstone courses, as well as lay the groundwork for data science curriculum development at SBCC and CSUSB, whose students will participate in a summer internship program at UCSB. Over 100 undergraduate students will be supported by stipends during the course of the project. The developed courses will emphasize programming and data inference within the context of application domains that is critical to training in data science. Students will be taught the underlying principles of data science, including data-generating processes and the role of measurement, ethics and privacy, information-processing tools for harnessing the power of big data, and the oral and written communication skills necessary for pursuing effective professional careers in the field. The program will culminate in a year-long capstone course for seniors, who will synthesize and apply previously learned data science tools and techniques in a large-scale project in a chosen domain area.NSF's Harnessing the Data Revolution Data Science Corps program focuses on building capacity for harnessing the data revolution at the local, state, national, and international levels to help unleash the power of data in the service of science and society. Projects in this program are being jointly funded by the NSF's Harnessing the Data Revolution Big Idea; the Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems; the Directorate for Education and Human Resources, Division of Undergraduate Education; the Directorate for Mathematical and Physical Sciences, Division of Mathematical Sciences; and the Directorate for Social, Behavioral and Economic Sciences, Office of Multidisciplinary Activities and Division of Behavioral and Cognitive Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

由于数据驱动的科学使社会和技术进步成为可能，因此对精通操纵和理解数据所需的工具和技术的专业人员有着强烈的需求。该项目将开发一个数据科学本科课程，该课程跨越并连接加州的三个主要公立高等教育系统：研究驱动的加州大学系统，实用和职业导向的加州州立大学系统，以及两年制加州社区学院。该合作计划将通过课程和现实项目为数据科学培训建立途径。该项目将影响来自不同社会，种族，文化和经济背景的学生，并将改善从两年制学院到四年制大学的支线管道。这种建立数据科学培训计划的多校区方法将促进合作，以培训数据科学领域的多元化劳动力。该伙伴关系由西海岸的四个学术机构组成：加州大学圣巴巴拉分校（UCSB）、加州州立理工大学圣路易斯奥比斯波分校（Cal Poly）、圣巴巴拉城市学院（SBCC）和加州州立大学圣贝纳迪诺分校（CSUSB）。该联盟将通过一系列新的顶点课程，在现有优势的基础上扩大UCSB和Cal Poly的培训，并为SBCC和CSUSB的数据科学课程开发奠定基础，其学生将参加UCSB的暑期实习计划。100多名本科生将在项目期间获得助学金。开发的课程将强调应用领域背景下的编程和数据推理，这对数据科学培训至关重要。学生将学习数据科学的基本原理，包括数据生成过程和测量的作用，道德和隐私，利用大数据的力量的信息处理工具，以及在该领域追求有效职业生涯所需的口头和书面沟通技能。该计划将在为期一年的顶点课程的老年人，谁将综合和应用以前学到的数据科学工具和技术在一个大规模的项目在选定的领域领域。NSF的利用数据革命数据科学团计划的重点是建设能力，利用数据革命在地方，州，国家，和国际水平，以帮助释放数据的力量，为科学和社会服务。该计划中的项目由NSF的利用数据革命大想法;信息和智能系统部计算机和信息科学与工程局;本科教育部教育和人力资源局;数学科学部数学和物理科学局;该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Approximate Algorithms for Data-Driven Influence Limitation

• DOI: 10.1109/tkde.2020.3016293
• 发表时间: 2022-06
• 期刊: IEEE Transactions on Knowledge and Data Engineering
• 影响因子: 8.9
• 作者: Sourav Medya;A. Silva;Ambuj K. Singh